Edit vocabulary

Folder Mandatory
Identifier Mandatory
Label Mandatory
Base URI Optional
Registration status Mandatory
Type Mandatory Common
Numeric concept identifiers Mandatory
Optional
Definition Optional
Version Optional
Source Optional
License Optional
 

Bound elements for concepts

Element Type Status
inCountry Vocabulary
Released
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  • Step 4
  • Step 5
29 Aug 2014
maximumValue Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
17 Nov 2016
minimumValue Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
17 Nov 2016
primaryObservationTime Vocabulary
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
17 Nov 2016
recommendedUnit Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
25 Sep 2013
relatedPollutant Vocabulary
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
15 Apr 2014

Add new data elements

Mandatory
Mandatory
Optional
Optional (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

585 concepts found, displaying 241 to 260.First910111213141516Last
Id Label Status Status Modified Notation
241 Range for pollutant 611 for year in ug.m-2.day-1 Quick edit Valid 2016-11-17 241
242 Range for pollutant 616 for month in ng.m-3 Quick edit Valid 2016-11-17 242
243 Range for pollutant 616 for year in ng.m-3 Quick edit Valid 2016-11-17 243
244 Range for pollutant 618 for day in ug.m-2.day-1 Quick edit Valid 2016-11-17 244
245 Range for pollutant 618 for month in ug.m-2.day-1 Quick edit Valid 2016-11-17 245
246 Range for pollutant 618 for var in ug.m-2.day-1 Quick edit Valid 2016-11-17 246
247 Range for pollutant 622 for day in ng.m-3 Quick edit Valid 2016-11-17 247
248 Range for pollutant 622 for var in ng.m-3 Quick edit Valid 2016-11-17 248
249 Range for pollutant 622 for year in ng.m-3 Quick edit Valid 2016-11-17 249
250 Range for pollutant 624 for month in ug.m-2.day-1 Quick edit Valid 2016-11-17 250
251 Range for pollutant 625 for month in ng.m-3 Quick edit Valid 2016-11-17 251
252 Range for pollutant 625 for var in ng.m-3 Quick edit Valid 2016-11-17 252
253 Range for pollutant 625 for year in ng.m-3 Quick edit Valid 2016-11-17 253
254 Range for pollutant 627 for day in ug.m-2.day-1 Quick edit Valid 2016-11-17 254
255 Range for pollutant 627 for month in ug.m-2.day-1 Quick edit Valid 2016-11-17 255
256 Range for pollutant 627 for var in ug.m-2.day-1 Quick edit Valid 2016-11-17 256
257 Range for pollutant 627 for year in ug.m-2.day-1 Quick edit Valid 2016-11-17 257
258 Range for pollutant 629 for day in ug.m-3 Quick edit Valid 2016-11-17 258
259 Range for pollutant 630 for day in mg.l-1 Quick edit Valid 2016-11-17 259
260 Range for pollutant 631 for day in ug.m-3 Quick edit Valid 2016-11-17 260
CSV Import

The CSV file should contain a header row for element names and data rows for concepts.
It is strongly recommended to use an exported CSV file as a template for bulk editing. Columns and rows can be added to or deleted from the template file.
A concept can be ignored by prepending a double-slash '//' to the concept row in the CSV
    Notes:
  • If the header row contains unknown elements the import will aborted and data will be rolled back
  • Erroneous concept rows are ignored, valid data rows are still imported
  • Successful import cannot be undone (unless "undo checkout" is performed)
  • If a concept with the same identifier already exists in the vocabulary it will be overwritten
  • "Purge Vocabulary" option deletes all the vocabulary concepts before import
Note
  • With this operation, contents of RDF file will be imported into vocabulary folder.
  • Only a working copy can be updated with a RDF file upload.
  • If user select "Purge Per Predicate" option. All seen predicates will be removed from vocabulary.
  • If user select "Purge All Vocabulary Data" option. All data will be removed from vocabulary.
  • Once import is successful, operation cannot be undone. If an error occurs during import, then all data will be rolled back.
In this case, existing vocabulary information will be updated with information from imported concepts.
In this case, predicates of existing concepts will be replaced with the imported predicates.
In this case, all existing concepts will be removed and the imported concepts will be added.
In this case, all imported concepts will be removed from the vocabulary.
How to handle missing concepts?